ML Engineer
120k - 155k USD
Remote
Full Time
#Engineering
#MLOps
#ETL
#Data Visualization
#Data Storytelling
About Signos
Signos is on a mission to tackle the obesity epidemic via healthy habits, metabolic signals, and AI. Using a continuous glucose monitor, Signos is powering data-driven weight loss by translating an individual’s metabolic signals into timely recommendations for eating, exercise, and better health. With over 75% of the American population overweight or obese, Signos provides a new way for people to act on their body’s unique response to what they eat. By making micro changes to people’s everyday routines, we can improve health and kickstart weight loss.
The ML Engineer plays a pivotal role in designing, implementing, and maintaining ML frameworks and algorithms that transform Signos users’ data streams into actionable insights. This role requires close collaboration with cross-functional teams to seamlessly integrate AI-driven solutions into our platform, ensuring scalability, robustness, and high performance.
Key Responsibilities:
- Core Machine Learning Development
- Research, prototype, and deploy ML models into production
- Maintain and manage the Signos model registry (e.g., Weights & Biases, TensorFlow Extended, or equivalent tools)
- Contribute to developing the MLOps cycle, ensuring end-to-end reliability
- Implement and monitor effective performance metrics for ML systems
- Data Engineering and ETL Pipelines
- Design and iterate on ETL processes to ensure scalability, robustness, and maintainability
- Maintain and enhance the ML Feature Store, continuously improving the ETL pipelines supplying it
- Data Science and Insights
- Analyze trends and patterns in data to drive actionable insights for both external member-facing applications and internal team strategies
- Develop and contribute to a library of data analysis reports, notebooks, and data storytelling tools
Preferred Qualifications:
- Experience with ML model development and deployment in production environments
- Familiarity with MLOps tools and practices (e.g., W&B, TFX, or similar platforms)
- Proficiency in ETL pipeline design, with a focus on scalability and maintainability
- Strong analytical skills, with experience in data visualization and storytelling
- Effective communication and teamwork skills
- Experience running tests/experiments in healthcare
Applications for this role will be accepted through end of business on Jan 31, 2025.
It is Signos's intent to pay all Signosians competitive wages and salaries that are motivational, fair, and equitable. Signos is committed to fair and equitable hiring practices in alignment with all applicable state and federal guidelines. The goal of Signos's compensation program is to be transparent, attract potential employees, meet the needs of all current employees, and encourage long-term retention.
This is a fully remote role located in the United States with the annual base salary listed below. Final compensation will be determined based on qualifications, experience, and other job-related factors.
What We Offer
- Competitive salaries and fully covered medical, dental, and vision insurance
- Twice yearly fully-covered company offsites
- Fully-covered access to the Signos system including CGM and app access
- 401(k) plan
- MacBook Pro
- A flexible vacation policy
- This role can be fully remote
Signos is an equal-opportunity workplace and values diversity at our company. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, citizenship status, sexual orientation, age, disability status, marital status, gender identity or expression, veteran status, or any other characteristics protected by federal, state or local laws.
Signos
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